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Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
Diffraction algorithms with adjustable magnification are dominant in holographic projection and imaging. However, the algorithms are limited by the Nyquist sampling conditions, and simulation results with inappropriate parameters sometimes appear with aliasing. At present, many diffraction algorithm...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918949/ https://www.ncbi.nlm.nih.gov/pubmed/36772698 http://dx.doi.org/10.3390/s23031662 |
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author | Wang, Chunzheng Ma, Jianshe Cai, Chao Su, Ping |
author_facet | Wang, Chunzheng Ma, Jianshe Cai, Chao Su, Ping |
author_sort | Wang, Chunzheng |
collection | PubMed |
description | Diffraction algorithms with adjustable magnification are dominant in holographic projection and imaging. However, the algorithms are limited by the Nyquist sampling conditions, and simulation results with inappropriate parameters sometimes appear with aliasing. At present, many diffraction algorithms have been proposed and improved, but there is a need for an overall analysis of their sampling conditions. In this paper, some classical diffraction algorithms with adjustable magnification are summarized, and their sampling conditions in the case of plane wave or spherical wave illumination are analyzed and compared, which helps to select the appropriate diffraction algorithm according to the specific parameter conditions of the simulation to avoid aliasing. |
format | Online Article Text |
id | pubmed-9918949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99189492023-02-12 Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification Wang, Chunzheng Ma, Jianshe Cai, Chao Su, Ping Sensors (Basel) Article Diffraction algorithms with adjustable magnification are dominant in holographic projection and imaging. However, the algorithms are limited by the Nyquist sampling conditions, and simulation results with inappropriate parameters sometimes appear with aliasing. At present, many diffraction algorithms have been proposed and improved, but there is a need for an overall analysis of their sampling conditions. In this paper, some classical diffraction algorithms with adjustable magnification are summarized, and their sampling conditions in the case of plane wave or spherical wave illumination are analyzed and compared, which helps to select the appropriate diffraction algorithm according to the specific parameter conditions of the simulation to avoid aliasing. MDPI 2023-02-02 /pmc/articles/PMC9918949/ /pubmed/36772698 http://dx.doi.org/10.3390/s23031662 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Chunzheng Ma, Jianshe Cai, Chao Su, Ping Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification |
title | Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification |
title_full | Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification |
title_fullStr | Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification |
title_full_unstemmed | Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification |
title_short | Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification |
title_sort | nyquist sampling conditions of some diffraction algorithms with adjustable magnification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918949/ https://www.ncbi.nlm.nih.gov/pubmed/36772698 http://dx.doi.org/10.3390/s23031662 |
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